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A Cost-constrained sampling stratrgy in support of LAI product validation in mountains areas
Yin Gaofei1,2; Li Ainong1; Zeng Yelu2,3; Xu Baodong2,3; Zhao Wei1; Nan Xi1; Jin Huaan1; Bian Jinhu1
Corresponding AuthorLi Ainong
Source PublicationRemote sensing

Increasing attention is being paid on leaf area index (LAI) retrieval in mountainous areas.
Mountainous areas present extreme topographic variability, and are characterized by more spatial heterogeneity and inaccessibility compared with flat terrain. It is difficult to collect representative ground-truth measurements, and the validation of LAI in mountainous areas is still problematic. A cost-constrained sampling strategy (CSS) in support of LAI validation was presented in this study. To account for the influence of rugged terrain on implementation cost, a cost-objective function was incorporated to traditional conditioned Latin hypercube (CLH) sampling strategy. A case study in
Hailuogou, Sichuan province, China was used to assess the efficiency of CSS. Normalized difference vegetation index (NDVI), land cover type, and slope were selected as auxiliary variables to present the variability of LAI in the study area. Results show that CSS can satisfactorily capture the variability across the site extent, while minimizing field efforts. One appealing feature of CSS is that the compromise between representativeness and implementation cost can be regulated according to
actual surface heterogeneity and budget constraints, and this makes CSS flexible. Although the proposed method was only validated for the auxiliary variables rather than the LAI measurements, it serves as a starting point for establishing the locations of field plots and facilitates the preparation of field campaigns in mountainous areas.

KeywordCost-constrained Sampling Strategy (Css) Leaf Area Index (Lai) Mountainous Areas Validation Representativeness
Indexed BySCI ; EI
Accession numberAccession number:20172203707260
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences
2.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
3.College of Resources and Environment, University of Chinese Academy of Sciences
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Yin Gaofei,Li Ainong,Zeng Yelu,et al. A Cost-constrained sampling stratrgy in support of LAI product validation in mountains areas[J]. Remote sensing,2016,8:doi:10.3390/rs8090704.
APA Yin Gaofei.,Li Ainong.,Zeng Yelu.,Xu Baodong.,Zhao Wei.,...&Bian Jinhu.(2016).A Cost-constrained sampling stratrgy in support of LAI product validation in mountains areas.Remote sensing,8,doi:10.3390/rs8090704.
MLA Yin Gaofei,et al."A Cost-constrained sampling stratrgy in support of LAI product validation in mountains areas".Remote sensing 8(2016):doi:10.3390/rs8090704.
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